9 search results - page 2 / 2 » Dimensionality Reduction Using Multi-Dimensional Scaling for... |
IV
2007
IEEE
14 years 2 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
WWW
2010
ACM
14 years 2 months ago
2010
ACM
We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
The exponential growth of data demands scalable infrastructures capable of indexing and searching rich content such as text, music, and images. A promising direction is to combine...
MM
2005
ACM
14 years 1 months ago
2005
ACM
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...